使用 NewsDataHub API 了解分頁

本指南介紹如何在使用 NewsDataHub API 時對結果進行分頁。

NewsDataHub API 是一項透過 RESTful API 介面提供新聞資料的服務。它實現基於遊標的分頁以有效處理大型資料集，允許開發人員以可管理的批次檢索新聞文章。每個回應都包含一組文章，其中每個文章物件包含標題、描述、發布日期、來源、內容、關鍵字、主題和情緒分析等詳細資訊。此 API 使用遊標參數在結果中進行無縫導航，並為搜尋參數和過濾選項等高級功能提供全面的文件。

有關文檔，請造訪：https://newsdatahub.com/docs

API 通常在其回應中傳回有限數量的數據，因為在單一請求中傳回所有結果通常是不切實際的。相反，他們使用分頁——一種將數據分成單獨的頁面或批次的技術。這允許客戶端一次檢索一頁，存取結果的可管理子集。

當您向 /news 端點發出初始請求並收到第一批結果時，回應的形狀如下所示：

{
    "next_cursor": "VW93MzoqpzM0MzgzMQpqwDAwMDQ5LjA6MzA0NTM0Mjk1T0xHag==",
        "total_results": 910310,
        "per_page": 10,
        "data": [
            {
                "id": "4927167e-93f3-45d2-9c53-f1b8cdf2888f",
                "title": "Jail time for wage theft: New laws start January",
                "source_title": "Dynamic Business",
                "source_link": "https://dynamicbusiness.com",
                "article_link": "https://dynamicbusiness.com/topics/news/jail-time-for-wage-theft-new-laws-start-january.html",
                "keywords": [
                    "wage theft",
                    "criminalisation of wage theft",
                    "Australian businesses",
                    "payroll errors",
                    "underpayment laws"
                ],
                "topics": [
                    "law",
                    "employment",
                    "economy"
                ],
                "description": "Starting January 2025, deliberate wage theft will come with serious consequences for employers in Australia.",
                "pub_date": "2024-12-17T07:15:00",
                "creator": null,
                "content": "The criminalisation of wage theft from January 2025 will be a wake-up call for all Australian businesses. While deliberate underpayment has rightly drawn scrutiny, our research reveals that accidental payroll errors are alarmingly common, affecting nearly 60% of companies in the past two years. Matt Loop, VP and Head of Asia at Rippling Starting January 1, 2025, Australias workplace compliance landscape will change dramatically. Employers who deliberately underpay employees could face fines as high as AU. 25 million or up to 10 years in prison under new amendments to the Fair Work Act 2009 likely. Employers must act decisively to ensure compliance, as ignorance or unintentional errors wont shield them from civil or criminal consequences. Matt Loop, VP and Head of Asia at Rippling, says: The criminalisation of wage theft from January 2025 will be a wake-up call for all Australian businesses. While deliberate underpayment has rightly drawn scrutiny, our research reveals that accidental payroll errors are alarmingly common, affecting nearly 60% of companies in the past two years. Adding to the challenge, many SMEs still rely on fragmented, siloed systems to manage payroll. This not only complicates operations but significantly increases the risk of errors heightening the potential for non-compliance under the new laws. The urgency for businesses to modernise their approach cannot be overstated. Technology offers a practical solution, helping to streamline and automate processes, reduce human error, and ensure compliance. But this is about more than just avoiding penalties. Accurate and timely pay builds trust with employees, strengthens workplace morale, and fosters accountability. The message is clear: wage theft isnt just a financial risk anymoreits a criminal offense. Now is the time to ensure your business complies with Australias new workplace laws. Keep up to date with our stories on LinkedIn, Twitter, Facebook and Instagram.",
                "media_url": "https://backend.dynamicbusiness.com/wp-content/uploads/2024/12/db-3-4.jpg",
                "media_type": "image/jpeg",
                "media_description": null,
                "media_credit": null,
                "media_thumbnail": null,
                "language": "en",
                "sentiment": {
                    "pos": 0.083,
                    "neg": 0.12,
                    "neu": 0.796
                }
            },
        // more article objects
      ]
  }

注意 JSON 回應中的第一個屬性 - next_cursor。 next_cursor 中的值指向下一頁結果的開頭。當發出下一個請求時，您可以像這樣指定遊標查詢參數：

https://api.newsdatahub.com/v1/news?cursor=VW93MzoqpzM0MzgzMQpqwDAwMDQ5LjA6MzA0NTM0Mjk1T0xHag==

嘗試對結果進行分頁的最簡單方法是透過 Postman 或類似工具。這是一個簡短的視頻，演示瞭如何使用遊標值在 Postman 中對結果進行分頁。

https://youtu.be/G7kkTwCPtCE

當 next_cursor 值為 null 時，表示您已到達所選條件的可用結果的結尾。

使用 Python 對結果進行分頁

以下是如何使用 Python 透過 NewsDataHub API 結果設定基本分頁。

import requests

# Make sure to keep your API keys secure
# Use environment variables instead of hardcoding
API_KEY = 'your_api_key'
BASE_URL = 'https://api.newsdatahub.com/v1/news'

headers = {
    'X-Api-Key': API_KEY,
    'Accept': 'application/json',
    'User-Agent': 'Mozilla/5.0 Chrome/83.0.4103.97 Safari/537.36'
}

params = {}
cursor = None

# Limit to 5 pages to avoid rate limiting while demonstrating pagination

for _ in range(5):
    params['cursor'] = cursor

    try:
        response = requests.get(BASE_URL, headers=headers, params=params)
        response.raise_for_status()
        data = response.json()
    except (requests.HTTPError, ValueError) as e:
        print(f"There was an error when making the request: {e}")
        continue

    cursor = data.get('next_cursor')

    for article in data.get('data', []):
        print(article['title'])

    if cursor is None:
        print("No more results")
        break

基於索引的分頁

有些 API 使用基於索引的分頁將結果分割成離散的區塊。透過這種方法，API 會傳回特定的資料頁，類似於書中的目錄，其中每個頁碼都指向特定的部分。

雖然基於索引的分頁實作起來更簡單，但它有幾個缺點。它難以即時更新，可能會產生不一致的結果，並且會給資料庫帶來更大的壓力，因為檢索每個新頁面需要順序掃描先前的記錄。

我們已經介紹了 NewsDataHub API 中基於遊標的分頁的基礎知識。有關搜尋參數和過濾選項等進階功能，請參閱完整的 API 文件：https://newsdatahub.com/docs。

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